| minimalExamples {ANOPA} | R Documentation |
A collection of minimal Examples from various designs with one or two factors.
Description
The datasets present minimal examples that are analyzed with an Analysis of Frequency Data method (described in Laurencelle and Cousineau (2023). The five datasets are
'minimalBSExample': an example with a single factor (state of residency)
'twoWayExample': an example with two factors, Class and Difficulty
'minimalWSExample': an example with a within-subject design (three measurements)
'twoWayWithinExample': an example with two within-subject factors
'minimalMxExample': a mixed design having one within and one between-subject factors
Usage
minimalBSExample
twoWayExample
minimalWSExample
twoWayWithinExample
minimalMxExample
Format
Objects of class data.frame:
An object of class data.frame with 6 rows and 4 columns.
An object of class data.frame with 19 rows and 3 columns.
An object of class data.frame with 30 rows and 6 columns.
An object of class data.frame with 27 rows and 5 columns.
References
Laurencelle L, Cousineau D (2023). “Analysis of proportions using arcsine transform with any experimental design.” Frontiers in Psychology, 13, 1045436. doi:10.3389/fpsyg.2022.1045436.
Examples
library(ANOPA)
# the twoWayExample data with proportions per Classes and Difficulty levels
twoWayExample
# perform an anopa on this dataset
w <- anopa( {success;total} ~ Difficulty * Class, twoWayExample)
# We analyse the proportions by Difficulty for each Class
e <- emProportions(w, ~ Difficulty | Class)